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    <title>topic Re: Conditioning of macro variable to eliminate outliers in SAS Programming</title>
    <link>https://communities.sas.com/t5/SAS-Programming/Conditioning-of-macro-variable-to-eliminate-outliers/m-p/617445#M180943</link>
    <description>&lt;P&gt;Forget macro programming for the moment, learn to use the data step first.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;What does&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;%put &amp;amp;biomarker.;&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;reveal in the log? Please post that log, using the {i} button.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;How did you create the macro variable? You are MOST LIKELY better off by keeping that data in a dataset and manipulate it with data step means.&lt;/P&gt;</description>
    <pubDate>Wed, 15 Jan 2020 14:17:44 GMT</pubDate>
    <dc:creator>Kurt_Bremser</dc:creator>
    <dc:date>2020-01-15T14:17:44Z</dc:date>
    <item>
      <title>Conditioning of macro variable to eliminate outliers</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Conditioning-of-macro-variable-to-eliminate-outliers/m-p/617434#M180935</link>
      <description>&lt;P&gt;Dear all,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I have created a macro variable for over 200 metabolites &amp;amp;biomarker.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I have standardized &amp;amp;biomarker variable and by running proc univariate I can see that&amp;nbsp; half of the biomarkers have outliers.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I tried this code to set the outliers as missing values:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;data met; set met;&lt;BR /&gt;%if &amp;amp;biomarker&amp;lt;-5 %then %let &amp;amp;biomarker=.;&lt;/P&gt;&lt;P&gt;%else %if &amp;amp;biomarker&amp;gt;5 %then %let &amp;amp;biomarker=.;&lt;/P&gt;&lt;P&gt;run;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I got these error messages&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;ERROR: The %IF statement is not valid in open code.&lt;/P&gt;&lt;P&gt;ERROR: The %ELSE statement is not valid in open code.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Even though I saw the posts saying that it was possible to run these statements in the open code.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Then I tried to run it within a&amp;nbsp; macro&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;%macro clean;&lt;BR /&gt;data met; set met;&lt;BR /&gt;%if &amp;amp;biomarker&amp;lt;-5 %then %let &amp;amp;biomarker=.;&lt;BR /&gt;%else %if &amp;amp;biomarker&amp;gt;5 %then %let &amp;amp;biomarker=.;&lt;BR /&gt;run;&lt;BR /&gt;%mend clean;&lt;/P&gt;&lt;P&gt;%clean&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;ERROR: Expecting a variable name after %LET.&lt;BR /&gt;ERROR: Symbolic variable name XXLVLDLP XXLVLDLL XXLVLDLPL XXLVL must be 32 or fewer characters&lt;BR /&gt;long.&lt;BR /&gt;ERROR: The macro CLEAN will stop executing.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Then I tried to condition with just one condition at the time&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;%macro clean;&lt;BR /&gt;data met; set met;&lt;BR /&gt;%if &amp;amp;biomarker&amp;lt;-5 %then %let &amp;amp;biomarker=.; run;&lt;BR /&gt;%mend clean;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I did not get any error messages. But when I run proc univariate with &amp;amp;biomarker I can see that all values below -5 are still in the data,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Please help me to modify my code to execute data cleaning.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you very much in advance!&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 15 Jan 2020 13:58:03 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Conditioning-of-macro-variable-to-eliminate-outliers/m-p/617434#M180935</guid>
      <dc:creator>Polina_UH</dc:creator>
      <dc:date>2020-01-15T13:58:03Z</dc:date>
    </item>
    <item>
      <title>Re: Conditioning of macro variable to eliminate outliers</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Conditioning-of-macro-variable-to-eliminate-outliers/m-p/617443#M180942</link>
      <description>&lt;P&gt;DATA steps do not run macro language %IF %THEN statements.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;You can still refer to a macro variable using &amp;amp;biomarker, but get rid of all the percent signs.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;In addition, what does &amp;amp;biomarker resolve to?&amp;nbsp; That will be necessary to come up with right DATA step logic to replace what you have now.&lt;/P&gt;</description>
      <pubDate>Wed, 15 Jan 2020 14:13:38 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Conditioning-of-macro-variable-to-eliminate-outliers/m-p/617443#M180942</guid>
      <dc:creator>Astounding</dc:creator>
      <dc:date>2020-01-15T14:13:38Z</dc:date>
    </item>
    <item>
      <title>Re: Conditioning of macro variable to eliminate outliers</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Conditioning-of-macro-variable-to-eliminate-outliers/m-p/617445#M180943</link>
      <description>&lt;P&gt;Forget macro programming for the moment, learn to use the data step first.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;What does&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;%put &amp;amp;biomarker.;&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;reveal in the log? Please post that log, using the {i} button.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;How did you create the macro variable? You are MOST LIKELY better off by keeping that data in a dataset and manipulate it with data step means.&lt;/P&gt;</description>
      <pubDate>Wed, 15 Jan 2020 14:17:44 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Conditioning-of-macro-variable-to-eliminate-outliers/m-p/617445#M180943</guid>
      <dc:creator>Kurt_Bremser</dc:creator>
      <dc:date>2020-01-15T14:17:44Z</dc:date>
    </item>
    <item>
      <title>Re: Conditioning of macro variable to eliminate outliers</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Conditioning-of-macro-variable-to-eliminate-outliers/m-p/617446#M180944</link>
      <description>&lt;P&gt;Thank you for your answer!&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Running the code without % signs gives this error:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;NOTE: Line generated by the macro variable "BIOMARKER".&lt;BR /&gt;1 XXLVLDLP XXLVLDLL XXLVLDLPL XXLVLDLC XXLVLDLCE XXLVLDLFC XXLVLDLTG XLVLDLP XLVLDLL&lt;BR /&gt;--------&lt;BR /&gt;388&lt;BR /&gt;76&lt;BR /&gt;1 ! XLVLDLPL XLVLDLC&lt;/P&gt;&lt;P&gt;ERROR 388-185: Expecting an arithmetic operator.&lt;/P&gt;&lt;P&gt;ERROR 76-322: Syntax error, statement will be ignored.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;amp;biomarker is the set of 200+ numeric variables representing metabolites&lt;/P&gt;</description>
      <pubDate>Wed, 15 Jan 2020 14:19:58 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Conditioning-of-macro-variable-to-eliminate-outliers/m-p/617446#M180944</guid>
      <dc:creator>Polina_UH</dc:creator>
      <dc:date>2020-01-15T14:19:58Z</dc:date>
    </item>
    <item>
      <title>Re: Conditioning of macro variable to eliminate outliers</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Conditioning-of-macro-variable-to-eliminate-outliers/m-p/617447#M180945</link>
      <description>&lt;BLOCKQUOTE&gt;&lt;HR /&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/307201"&gt;@Polina_UH&lt;/a&gt;&amp;nbsp;wrote:&lt;BR /&gt;
&lt;P&gt;I got these error messages&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;ERROR: The %IF statement is not valid in open code.&lt;/P&gt;
&lt;P&gt;ERROR: The %ELSE statement is not valid in open code.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Even though I saw the posts saying that it was possible to run these statements in the open code.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;HR /&gt;&lt;/BLOCKQUOTE&gt;
&lt;P&gt;These macro commands can be run in open code starting in SAS 9.4 Maintenance Release 5, but not in earlier versions of SAS.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;BLOCKQUOTE&gt;
&lt;P&gt;%macro clean;&lt;BR /&gt;data met; set met;&lt;BR /&gt;%if &amp;amp;biomarker&amp;lt;-5 %then %let &amp;amp;biomarker=.;&lt;BR /&gt;%else %if &amp;amp;biomarker&amp;gt;5 %then %let &amp;amp;biomarker=.;&lt;BR /&gt;run;&lt;BR /&gt;%mend clean;&lt;/P&gt;
&lt;P&gt;%clean&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;ERROR: Expecting a variable name after %LET.&lt;/P&gt;
&lt;/BLOCKQUOTE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;The syntax of the %LET command usually does not include an ampersand (although it can include an ampersand, I don't believe you want to use the &amp;amp; in this situation).&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;But as stated by&amp;nbsp;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/4954"&gt;@Astounding&lt;/a&gt;&amp;nbsp;this probably is not the proper way to do things.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;FONT color="#FF0000"&gt;&lt;STRONG&gt;Taking a big step backwards, if you are trying to eliminate outliers, I'm not seeing a need for macros at all. If you standardize each of your 200 variables somehow (it seems like you did this part already) and then you want any value of the standardized variable less then -5 or greater than 5 to be set to missing, this is an example where ARRAY statements work perfectly, and then no macros (and so no complication from macros) is needed.&lt;/STRONG&gt;&lt;/FONT&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 15 Jan 2020 14:21:20 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Conditioning-of-macro-variable-to-eliminate-outliers/m-p/617447#M180945</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2020-01-15T14:21:20Z</dc:date>
    </item>
    <item>
      <title>Re: Conditioning of macro variable to eliminate outliers</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Conditioning-of-macro-variable-to-eliminate-outliers/m-p/617449#M180946</link>
      <description>&lt;P&gt;Hi, if macro if not the optimal solution to my problem, I would really appreciate any advice of what may be.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I will reduce macro variable to just a few items to make it easier.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;This is how I created a macro variable:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;%let biomarker = XXLVLDLP XXLVLDLL XXLVLDLPL XXLVLDLC XXLVLDLCE XXLVLDLFC XXLVLDLTG XLVLDLP XLVLDLL&lt;BR /&gt;XLVLDLPL XLVLDLC;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;here is the log you requested&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;1651 %put &amp;amp;biomarker;&lt;BR /&gt;XXLVLDLP XXLVLDLL XXLVLDLPL XXLVLDLC XXLVLDLCE XXLVLDLFC XXLVLDLTG XLVLDLP XLVLDLL XLVLDLPL&lt;BR /&gt;XLVLDLC&lt;/P&gt;</description>
      <pubDate>Wed, 15 Jan 2020 14:24:41 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Conditioning-of-macro-variable-to-eliminate-outliers/m-p/617449#M180946</guid>
      <dc:creator>Polina_UH</dc:creator>
      <dc:date>2020-01-15T14:24:41Z</dc:date>
    </item>
    <item>
      <title>Re: Conditioning of macro variable to eliminate outliers</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Conditioning-of-macro-variable-to-eliminate-outliers/m-p/617453#M180949</link>
      <description>&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;data want;
    set have;
    array x XXLVLDLP XXLVLDLL XXLVLDLPL XXLVLDLC XXLVLDLCE
        XXLVLDLFC XXLVLDLTG XLVLDLP XLVLDLL XLVLDLPL XLVLDLC;
    do i=1 to dim(x);
        if x&amp;gt;5 or x&amp;lt;-5 then x=.;
    end;
    drop i;
run;&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Wed, 15 Jan 2020 14:29:00 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Conditioning-of-macro-variable-to-eliminate-outliers/m-p/617453#M180949</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2020-01-15T14:29:00Z</dc:date>
    </item>
    <item>
      <title>Re: Conditioning of macro variable to eliminate outliers</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Conditioning-of-macro-variable-to-eliminate-outliers/m-p/617454#M180950</link>
      <description>&lt;P&gt;Hi, thank you for you answer.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I standardized them just by using this code and it worked:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;proc standard data=met mean=0 std=1 out=met;&lt;BR /&gt;var &amp;amp;biomarker;&lt;BR /&gt;run;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I'm not sure how to create an array: my variables have very different names and no consecutive numbers...&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 15 Jan 2020 14:29:32 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Conditioning-of-macro-variable-to-eliminate-outliers/m-p/617454#M180950</guid>
      <dc:creator>Polina_UH</dc:creator>
      <dc:date>2020-01-15T14:29:32Z</dc:date>
    </item>
    <item>
      <title>Re: Conditioning of macro variable to eliminate outliers</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Conditioning-of-macro-variable-to-eliminate-outliers/m-p/617455#M180951</link>
      <description>&lt;BLOCKQUOTE&gt;&lt;HR /&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/307201"&gt;@Polina_UH&lt;/a&gt;&amp;nbsp;wrote:&lt;BR /&gt;
&lt;P&gt;Hi, thank you for you answer.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I standardized them just by using this code and it worked:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;proc standard data=met mean=0 std=1 out=met;&lt;BR /&gt;var &amp;amp;biomarker;&lt;BR /&gt;run;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I'm not sure how to create an array: my variables have very different names and no consecutive numbers...&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;HR /&gt;&lt;/BLOCKQUOTE&gt;
&lt;P&gt;I added array code to Message #7 in this thread.&lt;/P&gt;</description>
      <pubDate>Wed, 15 Jan 2020 14:30:44 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Conditioning-of-macro-variable-to-eliminate-outliers/m-p/617455#M180951</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2020-01-15T14:30:44Z</dc:date>
    </item>
    <item>
      <title>Re: Conditioning of macro variable to eliminate outliers</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Conditioning-of-macro-variable-to-eliminate-outliers/m-p/617457#M180953</link>
      <description>&lt;P&gt;Thank you so much!&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Unfortunately, the applying this code creates the array which includes all of the variables in my dataset including id and covariates.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Here is the log:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;2249 data new; set met;&lt;BR /&gt;2250 array x XXLVLDLP XXLVLDLL XXLVLDLPL XXLVLDLC XXLVLDLCE&lt;BR /&gt;2251 XXLVLDLFC XXLVLDLTG XLVLDLP XLVLDLL XLVLDLPL XLVLDLC;&lt;BR /&gt;2252 do i=1 to dim(x);&lt;BR /&gt;2253 if x&amp;gt;5 or x&amp;lt;-5 then x=.;&lt;BR /&gt;2254 end;&lt;BR /&gt;2255 drop i;&lt;BR /&gt;2256 run;&lt;/P&gt;&lt;P&gt;ERROR: Array subscript out of range at line 2253 column 12.&lt;BR /&gt;&lt;BR /&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 15 Jan 2020 15:03:25 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Conditioning-of-macro-variable-to-eliminate-outliers/m-p/617457#M180953</guid>
      <dc:creator>Polina_UH</dc:creator>
      <dc:date>2020-01-15T15:03:25Z</dc:date>
    </item>
    <item>
      <title>Re: Conditioning of macro variable to eliminate outliers</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Conditioning-of-macro-variable-to-eliminate-outliers/m-p/617458#M180954</link>
      <description>&lt;P&gt;My bad. I wrote the code wrong. THis should fix it&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;data want;
    set have;
    array x XXLVLDLP XXLVLDLL XXLVLDLPL XXLVLDLC XXLVLDLCE
        XXLVLDLFC XXLVLDLTG XLVLDLP XLVLDLL XLVLDLPL XLVLDLC;
    do i=1 to dim(x);
        if x(i)&amp;gt;5 or x&amp;lt;(i)-5 then x(i)=.;
    end;
    drop i;
run;&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Wed, 15 Jan 2020 14:40:56 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Conditioning-of-macro-variable-to-eliminate-outliers/m-p/617458#M180954</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2020-01-15T14:40:56Z</dc:date>
    </item>
    <item>
      <title>Re: Conditioning of macro variable to eliminate outliers</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Conditioning-of-macro-variable-to-eliminate-outliers/m-p/617459#M180955</link>
      <description>&lt;P&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/10892"&gt;@PaigeMiller&lt;/a&gt;&amp;nbsp;forgot to add the array references in the code:&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;data want;
    set have;
    array x XXLVLDLP XXLVLDLL XXLVLDLPL XXLVLDLC XXLVLDLCE
        XXLVLDLFC XXLVLDLTG XLVLDLP XLVLDLL XLVLDLPL XLVLDLC;
    do i=1 to dim(x);
        if x{i}&amp;gt;5 or x{i}&amp;lt;-5 then x{i}=.;
    end;
    drop i;
run;&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Wed, 15 Jan 2020 14:41:07 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Conditioning-of-macro-variable-to-eliminate-outliers/m-p/617459#M180955</guid>
      <dc:creator>Kurt_Bremser</dc:creator>
      <dc:date>2020-01-15T14:41:07Z</dc:date>
    </item>
    <item>
      <title>Re: Conditioning of macro variable to eliminate outliers</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Conditioning-of-macro-variable-to-eliminate-outliers/m-p/617463#M180957</link>
      <description>&lt;P&gt;And you can now use the macro variable to define the array:&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;array x {*} &amp;amp;biomarker.;&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Wed, 15 Jan 2020 14:46:07 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Conditioning-of-macro-variable-to-eliminate-outliers/m-p/617463#M180957</guid>
      <dc:creator>Kurt_Bremser</dc:creator>
      <dc:date>2020-01-15T14:46:07Z</dc:date>
    </item>
    <item>
      <title>Re: Conditioning of macro variable to eliminate outliers</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Conditioning-of-macro-variable-to-eliminate-outliers/m-p/617467#M180961</link>
      <description>&lt;P&gt;Dear &lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/11562"&gt;@Kurt_Bremser&lt;/a&gt; and &lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/10892"&gt;@PaigeMiller&lt;/a&gt; ,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you so much! The code worked and my problem is solved!&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you so very much again!&lt;/P&gt;</description>
      <pubDate>Wed, 15 Jan 2020 14:53:22 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Conditioning-of-macro-variable-to-eliminate-outliers/m-p/617467#M180961</guid>
      <dc:creator>Polina_UH</dc:creator>
      <dc:date>2020-01-15T14:53:22Z</dc:date>
    </item>
    <item>
      <title>Re: Conditioning of macro variable to eliminate outliers</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Conditioning-of-macro-variable-to-eliminate-outliers/m-p/617469#M180963</link>
      <description>&lt;P&gt;Thank you so much, &lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/11562"&gt;@Kurt_Bremser&lt;/a&gt; !&lt;/P&gt;</description>
      <pubDate>Wed, 15 Jan 2020 14:55:40 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Conditioning-of-macro-variable-to-eliminate-outliers/m-p/617469#M180963</guid>
      <dc:creator>Polina_UH</dc:creator>
      <dc:date>2020-01-15T14:55:40Z</dc:date>
    </item>
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